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davidafrica/credit-assignment
credit-assignment is a machine learning model from davidafrica. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Weights/vectors, datasets, and per-model results for the narrated credit-assignment study. Code, figures, and the interactive Craftax viz live on GitHub: DavidDemitriAfrica/hackasack. Companion to davidafrica/function…
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Updated Jun 23, 2026
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From the Hugging Face model README
Weights/vectors, datasets, and per-model results for the narrated credit-assignment study.
Code, figures, and the interactive Craftax viz live on GitHub: DavidDemitriAfrica/hackasack.
Companion to davidafrica/functional-wellbeing
(the welfare axis used here).
artifacts/credit_v1_* — v_credit.pt credit direction per model (9 families, 1.7B–35B), plus
analysis.json, steer.json, miscredit.json, repeat_choice.json, align.json, labels.parquet.artifacts/credit_v2*_*, maze_* — confound (raw-rate-hard) + ecological-maze runs with stats.json.artifacts/conflict_*, reasoning_*, behavioral_axis_* — the structural-vs-behavioral / framing results
(incl. v_struct.npy, v_behav.npy).artifacts/train_*, rlpay_*, syco_*, craftax_* — SFT/RL training, sycophancy, and Craftax results.datasets/*.parquet — the generated stimulus sets (credit_v1/v2, maze, craftax).Raw activations.pt were not retained (large; regenerable from the datasets via
credit.extract_credit in the GitHub repo).